YAML Parser Engine

YAML Parser Engine MCP Connector for Claude

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Convert YAML to JSON and JSON to YAML with absolute precision — including anchors, aliases, and multi-document support. The engine behind Kubernetes, GitHub Actions, and Docker Compose config processing. 30M+ weekly downloads.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner

An AI agent modifies a Kubernetes manifest and silently drops an anchor reference. A GitHub Actions workflow gains an extra indent. A Docker Compose volume mapping loses its colon. YAML is the most dangerous config format for AI — whitespace-sensitive, deeply nested, and full of edge cases that break silently.

This MCP uses the yaml package (30M+ downloads) — the only JavaScript YAML library that passes the complete official YAML test suite — to parse and serialize with zero data loss.

The Superpowers

  • Full YAML 1.1/1.2 Spec: Anchors (&), aliases (*), merge keys (
yaml-parsingserializationkubernetes-configdata-validationanchors-aliases

1 tools expose this connector's capabilities to your AI agent.

parse_yaml

Pass the content and direction ("yaml-to-json" or "json-to-yaml"). This engine uses the yaml package (30M+ weekly downloads) which is more robust than js-yaml and passes the official YAML test suite. Converts YAML to JSON and vice versa. Supports YAML 1.1/1.2 with comment preservation. Essential for Kubernetes, GitHub Actions, Docker Compose, and Ansible configs

See how to talk to your AI agent using YAML Parser Engine.

Convert this Kubernetes deployment manifest to JSON so I can programmatically modify the replica count.

JSON output with spec.replicas, containers, volumes — all fields preserved with correct types.

Our CI team needs the GitHub Actions workflow as JSON to validate it programmatically before merge.

Workflow parsed: jobs, steps, environment variables, and conditional expressions all converted to typed JSON.

Take this Docker Compose JSON config and generate valid YAML for the docker-compose.yml file.

Valid docker-compose.yml generated with correct indentation, service definitions, and volume mappings.

YAML is whitespace-sensitive. A single misplaced indent changes the entire structure silently — no error, just wrong behavior. AI models frequently hallucinate incorrect indentation, lose anchor references, and add trailing spaces. This engine validates against the real spec.

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